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Extract Aspect

Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.

Papers

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Showing 11–20 of 23 papers

TitleStatusHype
Chinese Financial Text Emotion Mining: GCGTS -- A Character Relationship-based Approach for Simultaneous Aspect-Opinion Pair Extraction—0
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet ExtractionCode0
Progressive Self-Training with Discriminator for Aspect Term Extraction—0
Aspect-Sentiment-Multiple-Opinion Triplet ExtractionCode0
Enhancing Aspect Term Extraction with Soft Prototypes—0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews—0
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment AnalysisCode0
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